InfiniteWatch

Big day at InfiniteWatch. We’re excited to share that we’ve raised $4M from an incredible group of investors: @Base10Partners, @KiboVentures, @Kfundvc, #lifexventures, @sequoia and @a16z Scouts and various unicorn founders. We’re building real-time observability for every web & audio interaction so teams can ship fast without breaking the user experience. Huge thank you to our investors, early customers and everyone who has supported us so far. This is just the beginning. @jatorre @fifaifofo @znoorani @rdominguezibar @guilleflorvs @DidacLee @GuliMoreno @roxannevarza @juanurdiales @pepgomez @Aquilino @jvidalarana @jaimenovoa @dsaltaren @mike_arias @inakib @lapenya @ginessn @agonzalezlizan @lafocade

Most teams only notice problems when tickets start piling up. But some issues stay invisible. Like a broken “Add to cart” quietly costing you revenue before anyone says a word. We recently caught one of these. A recurring cart failure, tied it to real user sessions, and saw exactly where people were getting stuck. That’s the kind of thing that slips through. If you're shipping continuously, errors are just part of the process. The real question is, are you okay with not seeing them?

New York is calling 🗽 Heading to InsurTech Spring 2026 with @ginessn, representing @infinitewatchai. Looking forward to great conversations and fresh ideas shaping the future of insurance. If you’re there, let’s connect!

We are now working on version v10 of our Web Insights agent. Higher precision, more accurate insights. Do you want to try it out? 👇

By the time you find out, it's already too late. Monitor every call. Catch every risk.

Scrolling through call recordings hoping you catch the right one vs. A dashboard that already found it for you. 2% sampled. 98% unchecked. That's how compliance issues hide for months. InfiniteWatch monitors every call in real time. No guessing.

Haven’t tried any of our demos yet?

@inakib 100% 😅🤝

😂🤣 agents need observability infinitewatch.ai

You should decide who gets access. And what they are allowed to see.

We’ve launched a new feature. When an issue is detected, you can now create a 𝗝𝗶𝗿𝗮 ticket directly from the same screen and generate it based on the recommendations provided. Less context switching. Faster fixes.

Last week, we implemented a new product feature in @infinitewatchai: You should decide who gets access. And what they are allowed to see.

1 car crash. 1 call to the insurance company. The voice agent misunderstood the claim. It was never filed. See how we help insurance call centers catch this: eu1.hubs.ly/H0s15PJ0

After a full week at Semana del Seguro in Madrid, I leave with one clear takeaway: AI is no longer an experiment in insurance. It is a strategic priority. Now the focus is on implementation, governance and real impact. And conversations this week show the industry is ready.

You shipped your web app to 50 beta users. Built with Lovable or Base44. Now what? Are users getting through it without friction?

Our weekly product report is live! Clients received it last Monday. Top priority issues. Weekly overview. What actually mattered. What else would you like to see? DM us if you want to take a look.

Better analytics is not more data. It is clearer signals of silent failure. We are developing a new dashboard for all our products!

@GuliMoreno @Jorge__Galindo @useomnia @rebolthq @speridlabs You rock @GuliMoreno !!!

@Jorge__Galindo No puedo sólo una pero así mas recientes: @useomnia, mito(dot)ai, @infinitewatchai , @rebolthq , traza (dot) ai, @speridlabs

Hey friends! If you had to name one startup in Spain building something cool in the AI ecosystem, which one would it be? Just curious to discover other companies I don’t have on my radar! RTs are much appreciated. Thanks in advance 🫶

You cannot scale voice AI testing with humans. 1,000 calls per day. Five minutes of QA per call. That is 83 hours of work. Every day. So teams test five percent instead. The other 95 percent fails quietly.

Great News! We will be soon implementing weekly reporting for our clients. Silent failures repeat before they explode.

A few weeks ago we started automating our agents' evaluations with an LLM as a judge. Manual review was slow. Subtle failures were easy to miss. Now checks run without someone watching every case. Silent regressions do not wait.